Projects per year
Personal profile
Biography
Jasmine is a researcher, engineer and data scientist with a PhD in biomechatronic engineering and machine learning. Jasmine has completed a research fellowship in wearable assistive technologies for falls prevention in older adults and has extensive experience in experimental design, laboratory testing and data analysis. Jasmine joined MUARC in 2024 as part of the NRSPP team to deliver the NTARC heavy vehicle incident report
Supervision interests
Road Safety
Heavy Vehicles
Data Analysis
Autonomous Vehicles
Technology
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Adjunct Fellow, Victoria University (VU)
Research area keywords
- Road Safety
- Workplace Road Safety
- Sensors
- Data Analysis
- Heavy Vehicles
- Technology
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Baseline Road Trauma Trends Model – Scenarios
D'Elia, A. (Primary Chief Investigator (PCI)), Newstead, S. (Chief Investigator (CI)), Budd, L. (Chief Investigator (CI)), Lawrence, B. (Chief Investigator (CI)) & Proud, J. (Chief Investigator (CI))
24/04/24 → 31/12/25
Project: Research
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Real Time Count of Serious Injuries – Application
D'Elia, A. (Primary Chief Investigator (PCI)), Newstead, S. (Chief Investigator (CI)), Budd, L. (Chief Investigator (CI)), Lawrence, B. (Chief Investigator (CI)) & Proud, J. (Chief Investigator (CI))
24/04/24 → 31/12/25
Project: Research
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CB2174 Outcome Evaluation of Safer Roads Program
Proud, J. (Primary Chief Investigator (PCI)), Stephens, A. (Chief Investigator (CI)), Lawrence, B. (Chief Investigator (CI)), Oxley, J. (Chief Investigator (CI)), Newstead, S. (Chief Investigator (CI)) & Bailey, S. (Project Manager)
21/02/25 → 11/06/25
Project: Research
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Implementation of the National Driver Distraction Roadmap: Incorporating Human Factors in Transport Systems
Young, K. (Primary Chief Investigator (PCI)), Stephens, A. (Chief Investigator (CI)), Proud, J. (Chief Investigator (CI)), Salmon, P. (Chief Investigator (CI)), Read, G. (Chief Investigator (CI)), Abedi, Z. (Chief Investigator (CI)), Rampollard, C. (Associate Investigator (AI)) & Bailey, S. (Project Manager)
14/11/24 → 30/06/25
Project: Research
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Analysis of Drink and Drug Driving in New South Wales
D'Elia, A., Proud, J., Lawrence, B. & Newstead, S., Sept 2025, Melbourne Vic Australia: MUARC. 42 p.Research output: Book/Report › Commissioned Report (Non-Public) › Research
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Pupillography for Drug Impairment Assessment: Police Acceptability Study: Technical Report
Muir, C., Kearney, J., Stephens, A. & Proud, J., Oct 2025, Melbourne Vic Australia: MUARC. 84 p.Research output: Book/Report › Commissioned Report (Non-Public) › Research › peer-review
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The highs and lows of lifting loads: SPM analysis of multi-segmental spine angles in healthy adults during manual handling with increased load
Proud, J. K., Garofolini, A., Mudie, K. L., Lai, D. T. H. & Begg, R. K., 2024, In: Frontiers in Bioengineering and Biotechnology. 12, 14 p., 1282867.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Exoskeleton application to military manual handling tasks
Proud, J. K., Lai, D. T. H., Mudie, K. L., Carstairs, G. L., Billing, D. C., Garofolini, A. & Begg, R. K., May 2022, In: Human Factors. 64, 3, p. 527-554 28 p.Research output: Contribution to journal › Article › Research › peer-review
66 Citations (Scopus) -
Overview of computational intelligence (CI) techniques for powered exoskeletons
Zaroug, A., Proud, J. K., Lai, D. T. H., Mudie, K., Billing, D. & Begg, R., 2019, Computational Intelligence in Sensor Networks. Mishra, B. B., Dehuri, S., Panigrahi, B. K., Nayak, A. K., Mishra, B. S. P. & Das, H. (eds.). 1st ed. Berlin Germany: Springer-Verlag London Ltd., p. 353-383 31 p. (Studies in Computational Intelligence; vol. 776).Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review
13 Citations (Scopus)